| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 9 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Provides real-time syntax highlighting for GreyCat source code by delegating tokenization and semantic analysis to a local Language Server Protocol (LSP) server. The extension acts as an LSP client that communicates with the GreyCat language server (`greycat/lang`) to classify tokens and apply VSCode theme colors. Syntax highlighting is distinguished from semantic highlighting in the architecture, suggesting separate analysis pipelines for lexical vs. semantic-level token classification.
Unique: Uses LSP protocol to separate syntax analysis from the editor, allowing the GreyCat language server to own tokenization logic and enabling consistent highlighting across multiple editor clients (not just VSCode)
vs alternatives: More maintainable than regex-based syntax highlighting because grammar changes are centralized in the LSP server, not duplicated across editor extensions
Delivers intelligent code completion suggestions by sending the current cursor position and file context to the GreyCat LSP server, which analyzes the syntax tree and symbol table to generate contextually relevant completions. Triggered via `Ctrl+Space` (or `Ctrl+Alt+Space` on macOS with workaround), the extension marshals completion requests with full project context, enabling suggestions that understand variable scope, type information, and available APIs. Completion quality depends on successful project loading within the VSCode workspace.
Unique: Completion is project-aware and type-aware because the LSP server maintains a full symbol table and type graph for the entire GreyCat project, not just the current file
vs alternatives: More accurate than generic language server completions because GreyCat's LSP server understands graph database schemas and ML pipeline types natively
Automatically discovers and loads GreyCat projects within the VSCode workspace, establishing the project context required for all language features (completion, highlighting, diagnostics). The extension communicates project structure and configuration to the LSP server during initialization, enabling the server to build a complete symbol table and type graph. Project loading errors are surfaced to users with diagnostic messages, and the extension provides troubleshooting guidance for common issues (e.g., missing project files, incorrect workspace structure).
Unique: Project loading is delegated to the LSP server, which owns the project model and configuration parsing — the extension only coordinates initialization and error reporting
vs alternatives: Decouples project configuration from the editor, allowing the same project model to be used by CLI tools, CI/CD pipelines, and other clients
Captures compilation and semantic errors from the GreyCat LSP server and displays them in VSCode's Problems panel with file location, line number, and error message. Diagnostics are updated in real-time as the user edits code, providing immediate feedback on syntax errors, type mismatches, and other issues. The extension distinguishes between extension-level errors (e.g., project loading failures) and upstream LSP server errors, with guidance on where to report issues.
Unique: Diagnostics are sourced entirely from the LSP server, making the extension a thin client that only formats and displays server-generated errors
vs alternatives: Provides real-time feedback without requiring manual compilation or external build tools, unlike traditional GreyCat CLI workflows
Registers GreyCat Binary file type (.gcb) with VSCode, enabling the editor to recognize compiled GreyCat artifacts and associate them with the GreyCat extension. This allows users to browse and inspect .gcb files within the editor, though full editing or decompilation capabilities are not documented. The extension may provide syntax highlighting or metadata display for binary files, depending on LSP server support.
Unique: Provides native VSCode integration for GreyCat's binary format, treating .gcb files as first-class artifacts rather than generic binary blobs
vs alternatives: More convenient than external binary inspection tools because .gcb files are recognized and displayed within the development environment
Provides code snippets and templates for common GreyCat patterns (e.g., graph queries, ML pipeline definitions, real-time data processing workflows). Snippets are triggered via code completion or snippet commands and expand with placeholder variables that users can tab through to customize. The extension may include snippets for GreyCat's domain-specific language (DSL) constructs, reducing boilerplate and accelerating development.
Unique: Snippets are domain-specific to GreyCat's graph database and ML capabilities, not generic programming patterns
vs alternatives: Reduces time to write GreyCat code compared to manual typing or copying from documentation
Manages the startup, shutdown, and error recovery of the GreyCat LSP server within the VSCode extension lifecycle. The extension automatically starts the LSP server when VSCode opens a GreyCat project, monitors server health, and attempts recovery if the server crashes or becomes unresponsive. Server communication errors are logged and may be surfaced to users with troubleshooting guidance. The extension handles server initialization parameters and configuration, ensuring the server has access to project files and dependencies.
Unique: Server lifecycle is fully automated and hidden from users, contrasting with manual server management in some LSP clients
vs alternatives: More user-friendly than requiring manual server startup commands, but less transparent than clients with explicit server status indicators
Exposes keyboard shortcuts for language features (e.g., code completion via `Ctrl+Space`) and provides guidance for resolving conflicts with system or VSCode shortcuts. The extension documents known conflicts (e.g., macOS 'Select the previous input source' blocking `Ctrl+Space`) and offers workarounds. Users can rebind shortcuts via VSCode's keybindings editor, though the extension does not provide a custom UI for shortcut configuration.
Unique: Documents and provides workarounds for platform-specific keyboard shortcut conflicts, acknowledging that LSP clients cannot fully control system-level shortcuts
vs alternatives: More transparent about limitations than extensions that silently fail to trigger features due to shortcut conflicts
+1 more capabilities
Generates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
Unique: 1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
vs alternatives: Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
Provides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Unique: Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supermaven scores higher at 71/100 vs GreyCat at 35/100. GreyCat leads on ecosystem, while Supermaven is stronger on adoption and quality.
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vs alternatives: Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
Supermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Unique: Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
vs alternatives: Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
Supermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
Unique: 30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
vs alternatives: Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
Supermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Unique: Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
vs alternatives: Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
Analyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Unique: Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
vs alternatives: Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
Delivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Unique: Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
vs alternatives: Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
Provides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Unique: Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
vs alternatives: Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
+5 more capabilities